An astronaut overseeing a futuristic data hub
Download PDFMarkdown Version

Connect Databox to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Turn your AI agent into a dedicated data engineer.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 10 capabilities

We ship only the actions that matter.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 10 available through Databox.

  1. 01

    Create data source

    Creates a new data source connection in your Databox account. Use the 'custom' service for push-based data sources.

  2. 02

    Create dataset

    Sets up a new data table for storing metrics. You'll need to provide a title, a data source ID, and primary key columns.

  3. 03

    Delete dataset

    Permanently removes a Databox dataset and all its associated data. This action cannot be undone.

  4. 04

    Get dataset details

    Retrieves metadata and schema information for a specific Databox dataset.

Capability set02 / 03

05-07

3 capabilities in this set.

Part of 10 available through Databox.

  1. 05

    List accounts

    Lists all Databox accounts that your API key can access.

  2. 06

    List data sources

    Shows all data source integrations, such as HubSpot or Google Analytics, for a specific account.

  3. 07

    List datasets

    Returns a list of all datasets currently held in your Databox account.

Capability set03 / 03

08-10

3 capabilities in this set.

Part of 10 available through Databox.

  1. 08

    List dataset metrics

    Finds and lists the specific metrics available within a Databox dataset after you've pushed data.

  2. 09

    Push metrics data

    Sends raw data records into a Databox dataset. The records must be JSON objects that match your dataset schema.

  3. 10

    Validate authentication

    Checks your Databox API key to confirm your credentials are valid.

Real work

What teams actually run

01

Real-time Metric Ingestion

Push custom business metrics from your code or terminal directly into a Databox dashboard.

02

Dataset Auditing

Check the schema and metadata of a dataset to ensure incoming data matches your requirements.

03

Quota Monitoring

Ask your agent for a status update on your data storage usage to avoid hitting limits.

04

Integration Management

List and manage your connected data sources like HubSpot or Google Analytics.

Automate a task

Put Databox to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Databox works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Databox to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 10 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Databox, so you can see the experience inside your AI.

It does not authenticate your account with Databox. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Databox Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_m5wxPLxA4DZzlEAGQvVBd7mHBeJdKwSaNPtHchcU/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Databox capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "databox-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_m5wxPLxA4DZzlEAGQvVBd7mHBeJdKwSaNPtHchcU/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Databox in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Databox owners hand off.

This MCP is built for technical professionals who need to move data from their workflows into visual dashboards without manual entry.

  • 01

    Data Analysts

    They use the agent to ingest new data points and verify dataset structures.

  • 02

    Marketing and Sales Ops

    They automate custom metric reporting and monitor storage limits.

  • 03

    Operations Leads

    They track API activity and manage data source connections through simple queries.

FAQ

Questions Databox owners ask.

  • 01

    How do I connect my Databox account?

    You'll need to provide your API Key (v1), which you can find in your Databox dashboard under Account Settings and API Tokens.

  • 02

    What AI clients can I use with this MCP?

    You can use this MCP with any compatible client, including Claude, Cursor, and Windsurf.

  • 03

    Can I delete datasets through my AI agent?

    Yes, you can use the delete_dataset capability, but be careful because this action is permanent and cannot be undone.

  • 04

    How do I push data to a specific table?

    You can use the push_metrics_data capability by providing a JSON object that matches the schema of your target dataset.

  • 05

    Can I check if my API key is working?

    Yes, you can use the validate_authentication capability to verify your credentials and check your connection status.

  • 06

    How do I find my Databox API Key?

    Log in to your account, navigate to Account Settings > API Tokens, and copy your unique v1 API Key.

  • 07

    Can I create new datasets via AI?

    Yes! Use the create_dataset capability. You'll need to specify a title, a source ID, and an array of primary keys for the table structure.

  • 08

    Does it support real-time data pushing?

    The push_metrics_data capability allows for immediate ingestion of data records, making them available for visualization in Databox instantly.

Explore

More in Data Analytics

Suggestions

Connect Databox to Claude, Cursor, ChatGPT & more